Machine Learning Approach for 5G Hybrid Technologies

The rapid evolution of mobile communication networks is due to the large increase in the number of users. But higher throughput is not the only criterion to address the fifth generation of cellular networks. It mainly focuses on the redressal of the possible issues of the networks. The mostly found...

Full description

Saved in:
Bibliographic Details
Published in2020 International Conference on Inventive Computation Technologies (ICICT) pp. 486 - 491
Main Authors Mathews, Asish B, Glan Devadhas, G.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.02.2020
Subjects
5G mobile communication
Fifth Generation (5G)
Generalized Frequency Division Multiplexing (GFDM)
Improved ANN (IANN) Equalizer
Microcell networks
Optical fiber networks
Optical fibers
Throughput
Wireless communication
Online AccessGet full text

Cover

More Information
Summary:The rapid evolution of mobile communication networks is due to the large increase in the number of users. But higher throughput is not the only criterion to address the fifth generation of cellular networks. It mainly focuses on the redressal of the possible issues of the networks. The mostly found issues are lesser area of coverage, non-linear signal effects and the dispersion which is found to occur during the signal pathway. This work entails on increasing the maximum limit of coverage without signal loss. Through the usage of microcells in the proposed system, maximum limit of coverage is achieved in highly populated areas. The simulations are carried out using software MATLAB 2017a and Opti-System, in which enhanced symbol error rate plot and reduced out of band emissions power performance have been improved. Finally, the conclusion and the future scope of the work has been discussed.
DOI:10.1109/ICICT48043.2020.9112519